Related Experiment Video
Updated: Nov 21, 2025
11:51
Combining Behavioral Endocrinology and Experimental Economics: Testosterone and Social Decision Making
Published on: March 2, 2011
15.4K
Behavioral structure of users in cryptocurrency market.
Ayana T Aspembitova1,2, Ling Feng2,3, Lock Yue Chew1,4,5
1Division of Physics and Applied Physics, Nanyang Technological University, Singapore, Singapore.
Plos One
|January 12, 2021
Summary
This study analyzes cryptocurrency market behavior using blockchain data, identifying four common trading strategies. User behavior differs significantly between Bitcoin and Ethereum markets, especially during price fluctuations and major events.
Area of Science:
- Behavioral economics
- Computational finance
- Network analysis
Background:
- Human behavior significantly influences financial market dynamics.
- Limited empirical data exists on financial agent behavior from market analysis.
- Blockchain technology offers transparent transaction data for behavioral inference.
Purpose of the Study:
- Empirically infer behavioral patterns of cryptocurrency users.
- Analyze user behavior in Bitcoin and Ethereum markets.
- Identify distinct behavioral types and trading strategies.
Main Methods:
- Temporal complex network analysis of user properties.
- K-means clustering combined with Support Vector Machines for behavioral classification.
- Analysis of Bitcoin and Ethereum cryptocurrency markets.
Main Results:
- Identified four common user strategies: optimists, pessimists, positive traders, and negative traders.
- Observed distinct user behavior compositions between Bitcoin and Ethereum markets.
- Bitcoin users exhibit short-term views during local events; Ethereum users exhibit long-term views.
- Ethereum users show more pessimism during systemic events; Bitcoin users show more optimism.
Conclusions:
- Blockchain data enables empirical inference of financial agent behavior.
- Distinct behavioral strategies and market-specific responses exist in cryptocurrency markets.
- Understanding these behaviors is crucial for market analysis and prediction.
Related Concept Videos
01:26Social Exchange Theory
148
As formulated by John Thibaut and Harold Kelley, Social Exchange Theory explains human relationships as economic-like exchanges that maximize rewards and minimize costs. This theory suggests that individuals engage in relationships to gain benefits and reduce burdens, similar to economic transactions. It has been widely applied to various types of relationships, including romantic, professional, and social interactions.Rewards and Costs in RelationshipsRelationship rewards include emotional...
148
02:06Social Exchange Theory
38.4K
We have discussed why we form relationships, what attracts us to others, and different types of love. But what determines whether we are satisfied with and stay in a relationship? One theory that provides an explanation is social exchange theory. According to social exchange theory, we act as naïve economists in keeping a tally of the ratio of costs and benefits of forming and maintaining a relationship with others (Rusbult & Van Lange, 2003).
38.4K
02:30Naturalistic Observations
16.8K
If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
16.8K
00:52Social Proof
30.8K
Social proof is a form of persuasion based on comparison and conformity. People compare their behavior and actions to what others are doing and will change to conform to do what their peers do.
30.8K
02:10Social Scripts
10.1K
People tend to know what behavior is expected of them in specific, familiar settings. A script is a person’s knowledge about the sequence of events expected in a specific setting (Schank & Abelson, 1977). Essentially, scripts are a particular kind of schema, one containing default values for the features within an event. In the restaurant example, the script's features include the props (e.g., tables, menu, food, and money), the roles to be played (e.g., customer and waiter),...
10.1K
01:30Social Foundations of Self IV: Self in Digital Communication
79
Since the early 2000s, computer-mediated communication (CMC) has grown rapidly, playing a crucial role in self-development. A key distinction between CMC and real-life interactions is the lack of a physically present partner. This absence makes non-verbal cues such as facial expressions, body language, and paralinguistic signals unavailable in CMC platforms like email, instant messaging, or social media. The lack of these cues can create ambiguity and complicate how feedback is interpreted.The...
79